Effectiveness and Safety of Statin Therapy in Children: A Real-World Clinical Practice Experience
Bibliographic record
Abstract
Background Statin use for hypercholesterolemia in children is predominantly reported from short-term clinical trials. In this study, we assess the efficacy and safety of statin treatment in clinical pediatric practice. Methods Records of all patients who began statin treatment at age <18 years and remained on statins for >6 months from 5 pediatric lipid clinics were reviewed. Information at baseline and from all clinic evaluations after statin initiation was recorded, including lipid measurements, statin drug/dose, safety measures (anthropometry, hepatic enzymes, creatine kinase levels), and symptoms. Lipid changes on statin therapy were assessed from baseline to 6 ± 3 months and from 6 ± 3 months to last follow-up with a mixed-effects model, using piecewise linear splines to describe temporal changes, controlling for repeated measures, sex, and age. Results There were 289 patients with median low-density lipoprotein cholesterol (LDL-C) of 5.3 mmol/L (interquartile range [IQR]:4.5–6.5) and mean age of 12.4 ± 2.9 years at statin initiation. Median duration of therapy was 2.7 years (IQR: 1.6–4.5) with 95% on statins at last evaluation. There were significant decreases in total cholesterol, LDL-C, and non–high-density lipoprotein cholesterol (non–HDL-C) from baseline to 6 ± 3 months ( P < 0.001) and from 6 ±3 months to last follow-up ( P < 0.001). Triglycerides and HDL-C were unchanged but the triglyceride to HDL-C ratio decreased significantly by late follow-up. At final evaluation, median LDL-C had decreased to 3.4 mmol/L (IQR:2.8–4.2). No patient had statins discontinued for safety measures or symptoms. Conclusions In real-world clinical practice, intermediate-term statin treatment is effective and safe in children and adolescents with severe LDL-C elevation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".